By Matthias Dyer
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Extra resources for Distributed Embedded Systems - Validation Strategies (Technische Informatik)
It also specifies the devices that the modules can contain, as well as the channels that can be used for the connections. 3 Exploration Environment As Fig. 2 shows, the performance estimation is embedded into an iterative search process that is conducted in five steps. First, the design points to be visited in the search space are determined by deriving a number of candidate architectures from the problem specific model. The tasks specified by the usage profile are then bound to specific devices.
However, the exploration of a huge search space demands for an eﬃcient estimation of the quality of candidate architectures. In the current implementation, we apply first order models, which however, could be replaced by more sophisticated methods based on statistical modeling, simulation or traced-based approaches. Based on the estimated execution cost and the performance of each architecture, the evaluation unit computes the values for the three optimization criteria. 1 Functionality The functionality criterion is evaluated by means of the two application timing constraints R and Dmax .
1 Usage Profile Specification The usage profile specification intends to capture the workload characteristics of the wearable system. This includes the variation of the computation intensity as well as the spatial distribution of computation and communication. The specification model is hierarchically structured into tasks t, applications a and scenarios s. Fig. 4 illustrates an example comprising three scenarios. The tasks constitute the atomic units of computation and communication. A set of tasks is assembled into an application.